AI Application Engineer

The AI Applications Engineer will design, develop, and deploy scalable AI/ML solutions that accelerate digital transformation across manufacturing operations. This role will focus on translating operational challenges into deployable AI solutions—integrating operations platforms to enable smarter decision-making, automation, and predictive insights. This position plays a critical role in building the “Digital Factory + AI” capability stack.

This position could include up to 25% travel locally. 

Major Responsibilities: 

AI Solution Development & Deployment  

• Design, build, test, and deploy machine learning and AI models, including productionizing solutions and maintaining model performance over time.  

Manufacturing (Operations) Use Case Delivery  

• Develop and support AI solutions for shop floor applications such as predictive maintenance, quality inspection, yield optimization, and throughput improvement. 

Data Engineering & Platform Integration  

• Develop data pipelines, integrate with enterprise systems, and ensure scalable, reusable AI and data architecture. 

Cross-Functional Collaboration & Business Translation  

• Partner with Operations and IT teams to define use cases, translate business problems into AI solutions, and ensure adoption. Including build vs. buy analysis.   

Continuous Improvement, Governance & Documentation  

• Monitor model performance, ensure data/model governance, document solutions, and drive reusability and standardization across sites/functions. 

Minimum Job Requirements:

Education 

• Bachelor’s degree in computer science, engineering, data science, or related field  

Work Experience 

• Experience working with structured and unstructured data  

• Experience building and deploying AI based vision systems 

• 5 years in manufacturing / OT environments, PLC, SCADA, MES exposure 

• 2 years of experience in AI/ML development and deployment   

 
Knowledge / Skills / Abilities 

• Python (TensorFlow, PyTorch, Scikit-learn) 

• Data engineering and ETL pipelines 

• Model deployment (APIs, microservices, Docker, etc.) 

• Understanding of industrial systems, manufacturing processes, or IoT data 

• Strong problem-solving and systems thinking mindset  

• Ability to bridge technical and business domains  

• Execution-focused with a bias toward deployment (not just modeling)  

• Ability to work across operations, engineering, and service functions  

• Ability to demonstrate clear communication with both technical teams and leadership 

Preferred Job Requirements: 

Education 

• Master’s Degree 

Work Experience 

• Experience in discrete manufacturing environments  

• Experience working in digital factory or Industry 4.0 initiatives 

• Familiarity with MES, PLM, and ERP integrations (SAP, Tulip, Windchill, etc.) 

 
Knowledge / Skills / Abilities 

• Experience with Computer vision (OpenCV, vision models 

• Time-series analysis (sensor, telemetry data) 

• Edge AI deployment